Abstract: The Intelligent Information Conversion System (IICS) facilitates real-time dynamic information exchange among connected and automated vehicle (CAV), roadside intelligent unit (RIU), and cloud platform. The system comprises a codebook, coding module, connector module, and supporting system. The codebook provides a standardized format for information exchange, using a sequence of integers corresponding to various categories such as vehicle automation level, vehicle type, and road category. The coding module encodes and decodes information to enable seamless communication among CAV, RIU, and cloud platform, optimizing data transmission and service levels for autonomous driving. The system supports sorting, encoding, and decoding information into a codebook string, improving real-time interaction and information flow across connected environments. It enhances vehicle automation and supports dynamic, context sensitive data exchanges between different entities in the autonomous ecosystem.

Abstract: Provided are a circulating water control method and system, a computer-readable storage medium, and an air conditioner. A first water delivery assembly of a water delivery device of the air conditioner is in communication with an indoor drain pan and a spray device, and a second water delivery assembly is in communication with an outdoor drain pan and a space where an indoor heat exchanger is located. The method includes: determining an operating mode of the air conditioner and obtaining water level information of the indoor drain pan and water level information of the outdoor drain pan; and controlling the first and second water delivery assemblies based on the operating mode, the water level information of the indoor drain pan, and the water level information of the outdoor drain pan, to circulate condensate water generated by the air conditioner between an indoor unit and an outdoor unit.

Abstract: In one example in accordance with the present disclosure, an electronic device is described. An example electronic device includes a processor and memory storing executable instructions that when executed cause the processor to receive an image of a polymer melt pool captured during crystallization of the polymer melt pool. The instructions also cause the processor to measure brightness of the polymer melt pool in the captured image. The instructions further cause the processor to determine crystallization information of the polymer melt pool based on the measured brightness of the polymer melt pool.

Abstract: The present disclosure provides a distance measuring device and a sweeping robot. The distance measuring device includes a base, a baffle, a drive assembly, a ranging component, and a driving component. The baffle is arranged over the base, and may prevent foreign matters over the baffle from intruding into the drive assembly. The baffle may be a portion extended upwards from the base, or may be arranged over the base in a mounting manner. The drive assembly may transmit power of the driving component to the ranging component. The driving component and the ranging component are mounted on the base. The baffle is arranged over the base, and defines a closed or a semi-closed mounting chamber with the base to block foreign matters from intruding into the drive assembly.

Abstract: Embodiments include technologies that use machine learning to enhance machine settings (e.g., agricultural machine settings, construction machine settings, forestry machine settings, or landscaping machine settings). Some embodiments include a method that includes using machine learning to generate or update machine settings. In some examples, the method includes receiving, by a computing system, initial settings information, the initial settings information including settings used by or to be used by one or more mobile machines performing one or more tasks. The mobile machine(s) can include machines for farming, construction, forestry, or landscaping. In such examples, the method also includes training, by the computing system, a deep learning model using the settings information. Also, in such examples, the method includes using, by the computing system, the trained model to generate new settings information for a given task.

Abstract: Embodiments include technologies that use machine learning to control mobile machines as well as to adjust settings of mobile machines in real time (e.g., agricultural machine settings, construction machine settings, forestry machine settings, or landscaping machine settings). Some embodiments include a method that includes using a mobile machine to perform work in a field using first machine settings and recording performance information. The performance information indicating a performance of the mobile machine while performing the work in the field. Also, the method includes using a computing system to input the performance information into a trained deep learning model and to receive new machine settings information from the trained model, and using the computing system to control the machine according to the new settings information.

Abstract: Embodiments include technologies that use machine learning to update a route plan to re-route a mobile machine in a field. In some examples, a method includes using a mobile machine to perform work in a field and recording travelled path information. The recorded path information includes information about one or more paths followed by the machine when performing the work in the field. The method also includes using one or more computing devices on the machine to input the path information into a trained deep learning model and to receive new machine travel paths from the trained model. Also, the method includes using the computing device(s) on the mobile machine to control the machine to follow the new travel paths generated by the trained model.

Abstract: Embodiments include technologies that use machine learning to plan a route. Some embodiments include a method that includes using machine learning to generate or update a route plan. In some examples, the method includes receiving, by a computing system, initial routing information, the initial routing information defining routes followed by or to be followed by one or more mobile machines in one or more fields. In such examples, the method also includes training, by the computing system, a deep learning model using the initial routing information. Also, in such examples, the method includes using, by the computing system, the trained model to generate new routing information for a given field.

Abstract: Provided are a data processing system and method based on dynamic redundancy heterogeneous encoding, and a device. The method comprises: respectively performing error correction encoding on information to be processed and a processing rule, so as to form encoded information to be processed and an encoded processing rule; processing, by using the encoded processing rule, the encoded information to be processed, so as to obtain response data; and then performing error correction decoding on N pieces of response data, so as to obtain processing result information of the information to be processed.

Abstract: Systems and methods are provided for planning an agricultural operation for an agricultural machine in a working environment. This Includes determining a boundary for the working environment; determining a plurality of boundary segments for the boundary; and determining, for each of the boundary segments, a candidate operational path. A performance metric associated with the determined operational path for the boundary segment is used to select a primary boundary segment which is optimized for a given metric of the operation. Operational components associated with the agricultural machine can then be controlled based on the determined operational path, e.g. to guide the machine along the path or present the path to an operator.

Abstract: The present disclosure provides a distance measuring device and a sweeping robot. The distance measuring device includes a base, a baffle, a drive assembly, a ranging component, and a driving component. The baffle is arranged over the base, and may prevent foreign matters over the baffle from intruding into the drive assembly. The baffle may be a portion extended upwards from the base, or may be arranged over the base in a mounting manner. The drive assembly may transmit power of the driving component to the ranging component. The driving component and the ranging component are mounted on the base. The baffle is arranged over the base, and defines a closed or a semi-closed mounting chamber with the base to block foreign matters from intruding into the drive assembly.

Abstract: The present application provides a display panel and a display device, including a first planarization layer, a second planarization layer, a first pixel definition layer, a second pixel definition layer, a first support column, a second support column, a first dam structure, and a second dam structure. The first dam structure is located in the first dam area, including a first planarization layer, a second planarization layer, a first pixel definition layer and a first support column. The second dam structure is located in the second dam area, including a second planarization layer, the second pixel definition layer and the second support column.

Abstract: An electrical control board includes a substrate including first to fourth mounting areas, and having first and second side edges in a length direction. The first and second mounting areas are adjacent to the first side edge and arranged in sequence in a width direction. The third and fourth mounting areas are adjacent to the second side edge and arranged in sequence in the width direction. The electrical control board further includes a main control chip circuit in the first mounting area, an active PFC control circuit and a frequency conversion control circuit in the second mounting area, a power input circuit in the third mounting area, and a function interface circuit in the fourth mounting area. The power input, active PFC control, frequency conversion control, and function interface circuits are sequentially connected. The frequency conversion control and function interface circuits are connected to the main control chip circuit.

Abstract: Methods and systems are provided for planning an agricultural operation in a working environment. Both a boundary for the working environment and one or more characteristics of at least one obstacle within the working environment are determined. Using this, an operational path for an agricultural machine is determined in dependence on the boundary for the working environment and the characteristic(s) of the obstacle(s). One or more operational components associated with the agricultural machine are then controlled in dependence on the determined operational path.

Abstract: Provided herein is technology relating to automated driving and particularly, but not exclusively, to an intelligent information conversion system and related methods for providing collaborative automatic driving to intelligent transportation systems, vehicle networking systems, collaborative management control systems, vehicle-road collaborative systems, automated driving systems, and the like.

Abstract: A method for computed tomography imaging and reconstruction based on learning, which measures the scene density distribution in an illumination multiplexing manner. The light source(s) for imaging emit(s) light according to the intensity obtained by pre-learning, and the light from different directions is absorbed and attenuated by the scene and reaches a sensor. The measured values are calculated and reconstructed to obtain the density information of the scene. The illumination intensity and reconstruction algorithm are learned by a neural network. In this method, the CT imaging process is modeled as a linear fully connected layer, and the weight corresponds to the illumination intensity of the light source for imaging; the reconstruction algorithm is modeled as a nonlinear neural network, which can be optimized according to the characteristics of scanning geometry.

Abstract: The present disclosure provides a distance measuring device and a sweeping robot. The distance measuring device includes: a base, including a base plate and a side wall extending from said base plate, said side wall including a first arcuate side wall and a second arcuate side wall, wherein a diameter of said second arcuate side wall is greater than a diameter of said first arcuate side wall; a distance measuring, module positioned above said base; a drive assembly, configured to drive said distance measuring module to rotate; and a baffle, fitted to said first arcuate side wall and covering at least a portion of said drive assembly.

Abstract: Echo planar imaging scanning techniques are provided. In a single excited EPI scanning process, a 90° RF excited pulse is applied to a target tissue. Then, a first RF convergence pulse is applied, followed by a first readout gradient pulse sequence in a readout direction while forbidding phase encoding gradients in a phase encoding direction and simultaneously collecting data for correcting a phase error between k-space lines. After the first readout gradient pulse sequence is applied, the first RF convergence pulse is sequentially applied to the target tissue for R times at intervals, and after the first RF convergence pulse is applied each time, the first readout gradient pulse sequence is applied in the readout direction while simultaneously applying a first phase encoding pulse sequence in the phase encoding direction, and collecting ACS data in a segmented manner, where R is an in-layer phase direction acceleration factor.

Abstract: A device for measuring short-wavelength characteristic X-ray diffraction based on array detection, and a measurement and analysis method based on the device are provided. An array detector of the device only detects and receives a diffraction ray which is diffracted by a material of a to-be-measured part inside a sample and passes through a through hole of a receiving collimator, and rays passing through a positioning hole. The to-be-measured part inside the sample is placed at the center of the diffractometer circle of the device. The method is performed with the device. With the present disclosure, a diffraction pattern of a part inside the sample with a centimeter thickness, i.e. Debye rings, can be rapidly and non-destructively measured, thereby rapidly and non-destructively measuring and analyzing crystal structures, and its crystal structural change of the part inside the sample, such as phase, texture, and stress.

Abstract: Techniques are provided for performing echo planar imaging (EPI) data correction. This includes obtaining positive and negative readout gradient calibration data of an imaging target through non-accelerated EPI acquisitions; respectively adopting first and second DPG kernels to be fitted and respectively used to eliminate phase errors of positive and negative readout gradients to fit the positive and negative readout gradient calibration data of the imaging target, with the fitting targets being positive and negative readout gradient data, respectively, in ghost-free target ACS data, and obtaining, after the fitting, a first and a second DPG kernel for final use; obtaining imaging data of the imaging target through an EPI acquisition; adopting the first and second DPG kernels to correct the phase errors of the imaging data to obtain phase-error-free imaging data.